Addressing tuberculosis among Inuit in Canada
Bibliographic record
Abstract
platform has resulted in a quicker diagnosis of active TB, earlier treatment (preventing progression of disease) and less transmission. Progressively, there has been a switch from plain film to digital x-rays reducing x-ray turnaround time from as long as two to three weeks to one or two days. Standard treatment protocols include quadruple therapy until sensitivities are known, the use of home isolation for active cases and directly observed treatment (DOT) for both latent and active TB. Special access to rifapentine (Priftin), and its use in combination therapy (3HP), requires only once weekly treatments that can be completed in 12 visits instead of 78 visits for isoniazid (INH) or 120 visits for rifampin, which increases adherence and greatly reduces the health care resources needed to treat TB. In October 2017, the Honourable Jane Philpott, then Minister of Health and now Minister of Indigenous Services, and Natan Obed, president of Inuit Tapiriit Kanatami (ITK) announced the establishment of a Task Force to develop an Inuit TB Elimination Action Framework, accompanied by regional action plans. It is hoped that the task force, and current efforts in Nunavut, will lead to the long term changes needed to ultimately eliminate TB among Inuit in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".